Estimate Nonlinear Models of Dynamic Systems using Nonlinear ARX and Hammerstein-Wiener Models

Learn how to include physics insights and knowledge of your system for estimating nonlinear models using Hammerstein-Wiener and nonlinear ARX models.
This demonstration shows how to include insights and prior knowledge with the help of physics-inspired nonlinearities, custom regressors, and predefined linear models while estimating nonlinear models.
Learn more:
- Reduced Order Modeling (ROM) video series: • Reduced Order Modeling
- System Identification Toolbox: bit.ly/3nM0jQx
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[@BCarli1395]

Wow! The advances in this field are staggering.

[@dominikz5776]

Does anyone have experience with identifing friction in elektro-mechanical systems? I excited my elektro-mechanical system with PRBS as input (current) and recorded the output (velocity). Now i want to identify a model that captures the nonlinearity of the mechanical friction. Any tips?